SAS : PROC TRANSPOSE with Examples

Deepanshu Bhalla 56 Comments

This tutorial explains how to transpose a dataset using the PROC TRANSPOSE procedure in SAS, along with examples.

What does PROC TRANSPOSE do?

PROC TRANSPOSE is useful when you want to reshape your data in SAS. For example, if your data is in a vertical format but you want to convert it into a wide/horizontal format, PROC TRANSPOSE can do this task easily.

PROC TRANSPOSE
Sample Dataset

Let's create sample data which is used for explaining the TRANSPOSE procedure. Suppose you have data for students with their marks in respective subjects. In the dataset below, you have three variables 'Name', 'Subject' and 'Marks'.

Name Subject Marks
Samma Maths 96
Sandy English 76
Devesh German 76
Rakesh Maths 50
Priya English 62
Kranti Maths 92
William German 87

Run the following program to create the sample dataset in SAS -

data transp;
input Name $ Subject $ Marks;
cards;
Samma Maths 96
Sandy English 76
Devesh German 76
Rakesh Maths 50
Priya English 62
Kranti Maths 92
William German 87
;
run;

It creates a dataset named 'TRANSP' which is stored in WORK library.

Simplest Form of PROC TRANSPOSE
proc transpose data = transp out= outdata;
run; 

The above code creates a dataset called outdata which contains values of variable 'Marks' stored in horizontal (wide) format. In other words, it transposes only variable "Marks" which is numeric. It is because by default, PROC TRANSPOSE transposes all numeric variables in the dataset.

Output Dataset

The output of the dataset looks like below -

_NAME_ COL1 COL2 COL3 COL4 COL5 COL6 COL7
Marks 96 76 76 50 62 92 87
Options in PROC TRANSPOSE
  1. The NAME= option allows you to change the name of the _NAME_ variable. It is the name of the variable that is transposed.
  2. The PREFIX= option allows you to change the prefix "COL". It is prefix to the transposed values.
proc transpose data = transp name=VarName prefix=Student out= outdata;
run;

Observe the above code with the previous section code - There are two changes in the code above that are : specifying name 'VarName' to the variable Name. The other change is adding a prefix 'Student' to the transposed marks.

VarName Student1 Student2 Student3 Student4 Student5 Student6 Student7
Marks 96 76 76 50 62 92 87
Statements in PROC TRANSPOSE
  1. ID -[Move to Column Name] It allows you to include the values of a variable as variable names in the output dataset. If the variable in the ID statement is numeric, an underscore will be put by default at the beginning of the variable name. Instead of a default '_', you can use PREFIX= option to give a specific prefix which can be any character value. For example, you want to add 'Height' as a prefix which would create variables like 'Height20' 'Height30'.
  2. BY - It allows you to transpose data within the combination of the BY variables. The BY variables themselves aren’t transposed. The variables need to be sorted before running PROC TRANSPOSE. You can sort the variables with PROC SORT.
  3. VAR -[Transpose Column] It lists the actual data that needs to be transposed. If you do not include a VAR statement, the procedure will transpose all numeric variables that are not included in a BY statement or a ID statement. If youwant to transpose a character variable, a VAR statement is required.
Example 2 : Assign Name to Transposed Columns

Suppose you want to have actual students' name instead of 'Student1 Student2 etc' in the variable names. You can use the ID statement to specify the variable whose values will become the column headers of the transposed dataset.

proc transpose data = transp name=VarName out= outdata;
id name;
run;
Output Dataset
VarName Samma Sandy Devesh Rakesh Priya Kranti William
Marks 96 76 76 50 62 92 87

In this case, the variable 'name' is used for naming variables.

Example 3 : Restructure Data

Suppose you want to change the structure of data in the manner in which the row values of the variable 'Subjects' come at top i.e. heading / variable names and marks under the respective column in the output dataset.

In this case, we need to sort the data as we are going to use BY processing in PROC TRANSPOSE.

proc sort data = transp;
by Name;
run;
proc transpose data = transp out= outdata;
by Name;
id Subject;
var Marks;
run;

In this example, we are specifying variable Name in the BY option which means we do not want to transpose this variable.. The variable Marks specified in the VAR option implies this variable is actually transposed and shape of the data format would be changed in the output dataset.

Output : PROC TRANSPOSE

If you look at the output above, everything looks perfect except the variable '_NAME' which is not relevant. We can eliminate this variable with DROP= option.

proc transpose data = transp out= outdata (drop=_name_);
by Name;
id Subject;
var Marks;
run;
Do we need sorting with BY statement?

Answer is No. The NOTSORTED option tells SAS that data is not sorted and it is not required to sort it. If you don't specify NOTSORTED option, you need to sort the variable that is listed in BY statement.

proc transpose data = transp out= outdata (drop=_name_) ;
by Name NOTSORTED;
id Subject;
var Marks;
run;
Output Dataset
Name Maths English German
Samma 96 . .
Sandy . 76 .
Devesh . . 76
Rakesh 50 . .
Priya . 62 .
Kranti 92 . .
William . . 87

See the above output. You must have observed the names are not sorted in the output dataset.

How to Use Two Variables in ID Statement?

We can use DELIMITER= option to separate values of two variables specified in the ID statements. In this example, we have used underscore ( _ ) as a delimiter.

proc transpose data = transp delimiter=_ name=VarName out= outdata;
id name subject;
run;
VarName Samma_Maths Sandy_English Devesh_German Rakesh_Maths
Marks 96 76 76 50
How to Label Variables

The ID statement within PROC TRANSPOSE tells SAS to provide variable names to the variables after the transpose. But if you want to label these variables, you can use IDLABEL statement which picks labels from a variable from the input file.

proc transpose data=temp out=outdata prefix=height;
 by id;
 var scores;
 id height;
 idlabel heightl;
 run;
Practical Example

Suppose you have monthly financial data. You need to convert long formatted data to wide format.

ID Months Revenue Balance
101 1 3 90
101 2 33 68
101 3 22 51
102 1 100 18
102 2 58 62
102 3 95 97

SAS Code

data example;
input ID Months Revenue Balance;
cards;
101 1 3 90
101 2 33 68
101 3 22 51
102 1 100 18
102 2 58 62
102 3 95 97
;
Output

The final output should like the following table.

ID balance_1 balance_2 balance_3
101 90 68 51
102 18 62 97
Solution :
proc transpose data=example out= Output1 (drop = _NAME_) prefix=balance_;
id months;
var balance;
by ID;
run;

In this case, the variable 'Month' specified in ID statement is a numeric variable. Hence, we have added prefix 'balance_' to make it to the desired output.

If you want to see your output looks like the data shown in the image below -

PROC TRANSPOSE : Reshape Data
proc transpose data=example out=out1 name=variable prefix=x;
by id months;
run;

In this case, the information of the 'Revenue' and 'Balance' variables are stacked to one variable. And the variable 'x1' refers to the values corresponding to it.

Exercise : Try yourself!

Suppose you have three columns - ID, Date and Flag. ID refers to unique value assigned to customers. Flag refers to status of customer as on date whether it is active or not. Input Dataset looks like the image shown below.

PROC TRANSPOSE Examples
data readin;
   input ID date ddmmyy8. Flag$;
   format date ddmmyy8.;
   cards;
1 30-12-16 Y
1 30-08-17  N
1 31-08-18  N
2 30-06-16 Y
2 31-12-18 N
;
run;

Desired output should look like the table below. Post your solution in the comment box below.

PROC TRANSPOSE Example
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About Author:
Deepanshu Bhalla

Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and HR.

Post Comment 56 Responses to "SAS : PROC TRANSPOSE with Examples"
  1. what is use of let option in transpose process

    ReplyDelete
    Replies
    1. LET will keep duplicate values of an ID Variable

      Delete
  2. proc transpose data = transp delimiter=_ name=VarName out= outdata;
    id name subject;
    run;


    its not working

    ReplyDelete
    Replies
    1. proc transpose data=transp delimiter=_ name=varname out=outdata;
      id name subject;
      run;

      Delete
  3. in proc transpose we are using id var by in that what purpose using ID please explain me

    ReplyDelete
  4. proc transpose data=example1 out=out1 name=variable prefix=x;
    by id month;
    run;

    Hi please chk the above mentioned code it is not providing the desired output.

    ReplyDelete
    Replies
    1. There were some typos. I have corrected it. Thanks for highlighting!

      Delete
    2. Hi all,
      Want to know that if I don't wanna use by statement in proc transpose, what will happen?

      Delete
  5. Hi There, As the name here in the dataset does not contain repetitive names then it is working fine but what if we have below scenario?

    data one;
    input cust$ account$ balance dollar9.;
    datalines;
    smith checking $1,000.00
    smith savings $4,000.00
    smith mortgage $150,000
    smith credit_card $500
    Jones checking $973.78
    Jones savings $2613.44
    Jones mortgage .
    Jones credit_card $140.48
    ;
    run;

    proc transpose data = one name=cust out = two;
    id cust;
    run;

    proc print data = two;
    run;

    It is saying
    ERROR: The ID value "smith" occurs twice in the input data set

    What is to be done in this case?

    ReplyDelete
    Replies
    1. PLEASE USE BELOW CODE:

      PROC TRANSPOSE DATA = ONE NAME=CUST OUT = TWO;
      BY CUST ACCOUNT NOTSORTED;
      ID CUST;
      RUN;

      PROC PRINT DATA = TWO;
      RUN;

      Delete
    2. LET me correct you :)

      proc sort data=one
      by cust;
      run;

      proc transpose data=one out=two;
      id account;
      by cust;
      run;

      or

      if you not want to sort dataset one then used below code

      proc transpose data=one out=two;
      id account;
      by cust notsorted;
      run;



      Delete
    3. proc transpose data = one name=cust out = two;
      id cust;
      by account notsorted;
      run;

      proc print data = two;
      run;

      Delete
    4. /*Use let option*/
      proc transpose data = one name=cust out = two let;
      id cust;
      run;

      Delete
    5. proc transpose data = one out = two(drop=_name_);
      id cust account;
      run;

      Delete
    6. Proc transpose doesnt work on duplicate values.

      Delete
  6. thanks for your post can u post something good about match merging and interleaving of sas datasets. thanks

    ReplyDelete
  7. Awesome post..Thanks for this...

    ReplyDelete
  8. Congratulations!
    Very helpful

    ReplyDelete
  9. I Have transaction dataset in which I have a column of expenses I want to keep all transactions side by side using comma based on the account id wise.Below i have mentioned small scenario of the one.

    Acct_Id gender expenses
    101 M 20000
    102 F 20000
    103 F 50000
    101 M 10000
    103 F 18000
    102 F 21000
    102 F 11000
    103 F 49000
    101 M 20000
    I want all expenses in one column side by side using deimeter as comaa, I want it as below in SAS, Can anyone please assist me in doing this will be a great help for me.

    101 M 20000,10000,20000
    102 F 20000,21000,11000
    103 F 50000,18000,49000
    Thanks and regards,
    Swarupa

    ReplyDelete
    Replies
    1. Try this and let me know if it works:


      data expenses;
      input Acct_Id gender $ expenses;

      datalines;

      101 M 20000
      102 F 20000
      103 F 50000
      101 M 10000
      103 F 18000
      102 F 21000
      102 F 11000
      103 F 49000
      101 M 20000
      ;

      proc sort data = expenses;
      by Acct_id;
      run;

      data final(drop= expenses);
      set expenses;
      by Acct_id;
      length Tot_exp $20;
      retain tot_exp;
      if first.acct_id then Tot_exp = put(expenses, 6.);
      else Tot_exp = cats(Tot_exp,',',put(expenses, 6.));
      if last.acct_id then output;
      run;

      Delete
    2. DATA INCOME_DATA;
      INPUT ID SEX$ INCOME;
      CARDS;
      101 M 20000
      102 F 20000
      103 F 50000
      101 M 10000
      103 F 18000
      102 F 21000
      102 F 11000
      103 F 49000
      101 M 20000
      ;
      RUN;


      PROC SORT DATA=INCOME_DATA;
      BY ID SEX;
      RUN;

      PROC TRANSPOSE DATA=INCOME_DATA OUT=T_DATA(DROP=_NAME_) PREFIX=INCOME;
      BY ID SEX;
      VAR INCOME;
      RUN;

      Delete
    3. DATA INCOME_DATA;
      INPUT ID SEX$ INCOME;
      CARDS;
      101 M 20000
      102 F 20000
      103 F 50000
      101 M 10000
      103 F 18000
      102 F 21000
      102 F 11000
      103 F 49000
      101 M 20000
      ;
      RUN;


      PROC SORT DATA=INCOME_DATA;
      BY ID SEX;
      RUN;

      PROC TRANSPOSE DATA=INCOME_DATA OUT=T_DATA(DROP=_NAME_) PREFIX=INCOME;
      BY ID SEX;
      VAR INCOME;
      RUN;

      Delete
  10. Sir, Please help me.. I'm working in SASA last few months. I am not getting how to write a code. Here Market names are missing, for those above market name is considered for bellow blanked rows up to next market name (above same market name continues to the next market and next market name continues to the another market name). Like this each crop has 65000 rows in single crop and totally I have 46 crops. Please suggest the code with examples..

    Market Date Variety Arriv Min Max Modal District Year
    BALLARI 02/03/2004 NH-44 COTTON 163 1770 2870 2670 Ballari 2004
    13/02/2004 NH-44 COTTON 324 1750 2850 2280 Ballari 2004
    20/02/2004 NH-44 COTTON 99 1867 2713 2450 Ballari 2004
    27/02/2004 NH-44 COTTON 126 1726 2740 2330 Ballari 2004
    Total    712 2432 2004
    BELUR 25/02/2004 COTTON GINNED 32 2400 2550 2500 Hassan 2004
    Total    32 2500 2004
    BYADGI 02/03/2004 D.C.H. 6 2429 2669 2429 Haveri 2004
    02/05/2004 D.C.H. 8 2069 2689 2269 Haveri 2004
    02/09/2004 D.C.H. 7 2009 2669 2419 Haveri 2004
    02/12/2004 D.C.H. 4 2059 2669 2459 Haveri 2004
    16/02/2004 D.C.H. 12 2349 2869 2409 Haveri 2004
    19/02/2004 D.C.H. 5 2329 2569 2529 Haveri 2004
    23/02/2004 D.C.H. 5 2019 2369 2329 Haveri 2004
    26/02/2004 D.C.H. 4 869 2219 879 Haveri 2004
    Total    51 2215 2004
    CRNAGAR 15/02/2004 OTHER 94 2814 2814 2814 CRNagara 2004
    Total    94 2814 2004
    C.DURGA 02/03/2004 D.C.H. 94 1680 3294 2650 C.durga 2004
    02/05/2004 D.C.H. 121 1580 2930 2525 C.durga 2004
    02/07/2004 D.C.H. 59 1600 3189 2600 C.durga 2004
    02/10/2004 D.C.H. 112 1450 2890 2540 C.durga 2004
    02/12/2004 D.C.H. 117 1680 2782 2440 C.durga 2004
    17/02/2004 D.C.H. 249 1330 2790 2600 C.durga 2004
    21/02/2004 D.C.H. 173 1580 3139 2550 C.durga 2004
    24/02/2004 D.C.H. 227 1400 2933 2590 C.durga 2004
    25/02/2004 D.C.H. 0 0 0 0 C.durga 2004
    26/02/2004 D.C.H. 148 1590 2959 2590 C.durga 2004
    28/02/2004 D.C.H. 197 1750 2806 2450 C.durga 2004
    Total    1497 2321 2004
    D.GERE 02/04/2004 D.C.H. 7 929 2329 2029 D.gere 2004
    02/07/2004 D.C.H. 1 1969 1969 1969 D.gere 2004
    02/09/2004 D.C.H. 2 2029 2029 2029 D.gere 2004
    13/02/2004 D.C.H. 15 1002 2619 2120 D.gere 2004
    16/02/2004 D.C.H. 1 1929 1929 1929 D.gere 2004
    19/02/2004 D.C.H. 3 2169 2339 2309 D.gere 2004
    20/02/2004 D.C.H. 5 2009 2059 2025 D.gere 2004
    23/02/2004 D.C.H. 12 1839 2459 2169 D.gere 2004
    26/02/2004 D.C.H. 6 2079 2279 2159 D.gere 2004
    27/02/2004 D.C.H. 2 2159 2369 2259 D.gere 2004
    28/02/2004 D.C.H. 2 2109 2309 2209 D.gere 2004
    Total    56 2109 2004

    ReplyDelete
  11. proc transpose data = transpsorted out= outdata3;
    by Name;
    id Subject;
    var Marks;
    run;

    ReplyDelete
  12. data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;


    data new(rename=(date5=date));
    set readin;
    date1=put(date,ddmmyy8.);
    date2=scan(date1,1,"/");
    date3=scan(date1,2,"/");
    date4=scan(date1,3,"/");
    date5=catx("-",date4,date3,date2);
    drop date date1 date2 date3 date4;
    run;


    proc transpose data=new out=readin_t(drop=_name_) prefix=Y20;
    var flag;
    by id;
    id date;
    run;

    ReplyDelete
    Replies
    1. data akshay;
      set readin;
      format date yymmdd8.;
      run;


      proc transpose data=akshay out=aww prefix=Y20_;
      id date;
      var flag;
      by id;
      run;

      Delete
    2. data akshay;
      set readin;
      format date yymmdd10.;
      run;

      It will give you date format 2016-12-30

      Then you run this code:

      proc transpose data= readin1 out= Output1 delimiter= _ prefix=Y Name= date ;
      id Date;
      var flag;
      by ID;
      run;

      Delete
  13. data test;
    set readin;
    format date yymmdd10.;
    run;

    proc transpose data=test prefix=Y out=new1 (drop=_name_);
    var flag;
    id date;
    by id;
    run;

    ReplyDelete
  14. Thanks so much!! Glad to have found this site.

    proc transpose data=readin out=out(drop=_name_) prefix=Y20 delimiter=_;
    by id;
    var flag;
    id date;
    format date yymmdd8.;
    run;

    ReplyDelete
    Replies
    1. How does the delimiter will come into play as it is used to separate 2 vars in ID statement, I can see ur code working. Could you please help to explain

      Delete
    2. I don't see any difference using with or without delimiter, please explain the purpose of delimiter option here.

      Delete
  15. Clear, Simple and Perfect!! Thanks much!

    ReplyDelete
  16. sir how to use the label option in proc transpose because when i am useing that optio i am getting the error that the variable written using label statment is not found

    ReplyDelete
  17. Solution:

    data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;

    data readin;
    set readin;
    format date1 yymmdd10.;
    date1=date;
    run;

    proc transpose data=readin prefix=Y out=reading1(drop=_name_);
    by id notsorted;
    id date1;
    var flag;
    run;

    ReplyDelete
  18. proc transpose data=readin out=prac (drop=_name_) prefix=Y_;
    format date yymmdd10.;
    by id;
    id date;
    var flag;
    run;

    ReplyDelete
  19. Ans:
    proc transpose data=readin out=trans_readin(drop=_name_) prefix=Y ;
    format date yymmdd10.;
    by id;
    var flag;
    id date;
    run;

    ReplyDelete
  20. Here is right answer:

    data readin2;
    set readin;
    format date yymmdd10.;
    run;


    data readin3;
    set readin2;
    date1 = put(date, yymmdd10.);
    date2 = tranwrd(date1 , '-' , '_');
    run;

    proc transpose data=readin3 out=new1 (drop=_name_) prefix=Y;
    by ID;
    id date2;
    var flag;
    run;

    ReplyDelete
  21. data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;

    data read;
    set readin;
    year=year(date);
    month=month(date);
    day=day(date);
    run;

    proc transpose data=read out=read_transposed (drop=_name_) prefix=Y delimiter=_;
    id year month day;
    var flag;
    by id;
    run;

    ReplyDelete

  22. DATA readin2(drop=year month month1 day date);
    set readin;
    format date ddmmyy10.;
    year=year(date);
    month=month(date);
    IF month <10 then month1=('0'||strip(month));
    else month1=month;
    day =day(date);
    date1 =(STRIP(YEAR)||"_"||STRIP(MONTH1)||"_"||STRIP(DAY));
    run;

    proc transpose data=readin2 prefix=Y out=outdata(drop=_Name_);
    id date1;
    BY ID;
    var Flag;
    run;

    ReplyDelete
  23. proc transpose data=readin out=trans_readin (drop=_name_) prefix=y;
    id date;
    var Flag;
    by ID;
    run;
    proc print;
    run;

    ReplyDelete
  24. proc transpose
    data = readin
    prefix = Y20
    out = out(drop = _name_);
    by id;
    var flag;
    id date
    ;run;


    proc sql ;
    select cats("'", name, "'n", '=', tranwrd(name, '/', '_'))
    into :new_names separated by " "
    from dictionary.columns
    where libname eq 'WORK'
    and memname eq 'OUT'
    and name like 'Y%'
    ;quit;


    data work.out;
    set work.out
    (rename = (&new_names.))
    ;run;

    ReplyDelete
  25. data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;


    data new;
    set readin;
    day=day(date);
    month=month(date);
    yr=year(date);
    date1=catx('_',day,month,yr);
    drop day month yr date;
    run;


    proc transpose data=new out=readin_t(drop=_name_) prefix=Y20;
    var flag;
    by id;
    id date1;
    run;

    ReplyDelete
  26. data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;

    proc transpose data=readin out=read(drop=_name_) prefix=Y20;
    format date yymmdd8.;
    var flag;
    by id;
    id date;
    run;

    ReplyDelete
  27. data readin;
    input ID date ddmmyy8. Flag$;
    format date ddmmyy8.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;
    proc sort data=readin;
    by ID; run;
    proc transpose data=readin out=readin1(drop=_name_) prefix=y;
    id date;
    var Flag;
    by ID;
    run;

    ReplyDelete
  28. data readin;
    input ID date ddmmyy8. Flag$;
    format date yymmdd10.;
    cards;
    1 30-12-16 Y
    1 30-08-17 N
    1 31-08-18 N
    2 30-06-16 Y
    2 31-12-18 N
    ;
    run;
    proc print;
    run;
    proc sort data=example;
    by id;
    run;
    proc transpose data=readin out=dad (drop=_name_) prefix=y ;
    id date;
    var flag;
    by id;
    run;

    ReplyDelete
  29. proc transpose data=readin name=id prefix=Y out=out2 (DROP= id);
    format date yymmddb10.;
    by id;
    id date;
    var flag;
    run;

    ReplyDelete
  30. proc transpose data = readin out= readin2 (DROP=_NAME_) prefix=Y;
    format date yymmdd10.;
    by ID;
    ID date;
    VAR FLAG;
    run;

    ReplyDelete
  31. Shakila RadhakrishnanDecember 4, 2021 at 1:35 AM

    proc transpose data=readin out=outdata(drop=_NAME_) prefix=Y;
    id date;
    format date yymmdd10.;
    var flag;
    by id;
    run;

    ReplyDelete
  32. proc transpose data=readin2 out=readin3(rename=(_30_12_16=y2016_12_30 _30_08_17=y2017_08_30
    _31_08_18=y2018_08_31 _30_06_16=y2016_06_30 _31_12_18=y2018_12_31)drop=_name_);
    by id;
    id date;
    var flag;
    run;

    ReplyDelete
  33. PROC TRANSPOSE DATA = readin OUT = READIN1;
    BY ID;
    ID DATE;
    VAR FLAG;

    RUN;

    ReplyDelete
  34. Hi all,
    I want to know what if I don't use by statement in proc statement and only use id and var statement, what will happen? Please help!

    ReplyDelete
    Replies
    1. BY statement would show output for each level of the BY variable on a separate row

      Delete
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